Abstract: With the rapid growth of edge AI applications, there is an increasing demand for federated learning (FL) frameworks that are both efficient and privacy-preserving. This work introduces a ...
Abstract: In light of the emergence of privacy breaches in federated learning, secure aggregation protocols, which mainly adopt either homomorphic encryption or threshold secret sharing techniques, ...
A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
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